Ph.D. researcher and software developer focused on Differential Privacy optimization using quantum random number generation, synthetic data generation, and privacy-preserving Machine Learning systems.
Combines theoretical privacy research with practical system development, including production QRNG platforms and standardized entropy distribution APIs.
Academic credentials include Master's with distinction, CERN research collaboration, and ongoing industry-academia partnership investigating true randomness impact on privacy mechanisms.
Specialized in bridging fundamental research with enterprise-grade technological solutions.
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